Keypoint Detection
Transformers
Safetensors
LightGlue
keypoint-matching
model_hub_mixin
pytorch_model_hub_mixin
Instructions to use ETH-CVG/lightglue_disk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ETH-CVG/lightglue_disk with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForKeypointMatching processor = AutoImageProcessor.from_pretrained("ETH-CVG/lightglue_disk") model = AutoModelForKeypointMatching.from_pretrained("ETH-CVG/lightglue_disk") - Notebooks
- Google Colab
- Kaggle
Add config
Browse files- config.json +0 -1
config.json
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@@ -27,7 +27,6 @@
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"nms_window_size": 5,
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"pad_if_not_divisible": true,
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"torch_dtype": "float32",
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"trust_remote_code": true,
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"weights": "depth"
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},
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"model_type": "lightglue",
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"nms_window_size": 5,
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"pad_if_not_divisible": true,
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"torch_dtype": "float32",
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"weights": "depth"
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},
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"model_type": "lightglue",
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